AI in diagnostics holds great promise — but many solutions fall short when it comes to real-world clinical use. Industry players don’t always understand the specific needs and workflows of hospitals or users. Meanwhile, healthcare providers often lack the expertise or capacity to evaluate, procure, and implement complex AI tools.

CAIDX (Clinical Artificial Intelligence based Diagnostics) was established to bridge this gap. The project aimed to facilitate the uptake of AI and data-driven diagnostic tools in healthcare institutions by supporting contracting, clinical and technical development, capacity building, and collaboration between hospitals, other healthcare providers, and the wider industry ecosystem.

The project's main result, the Clinical AI Pathway Toolbox guides hospitals and companies through joint development, ensuring that solutions are not only technically sound but also clinically relevant, compatible with existing IT systems, and usable by staff. The tool offers clinicians and researchers a structured, practical framework to develop trustworthy diagnostic AI. For AI startups, MedTech firms, and other digital health companies, the toolbox helps bridge innovation with the realities of clinical practice, regulation, and deployment.

The toolbox is free to use, requires no registration, and the site collects no personal data. It’s part of CAIDX’s mission to foster responsible, secure, and relevant AI innovation in healthcare.

To ensure its relevance, the toolbox was piloted with professionals developing or working with AI in healthcare. CAIDX conducted three pilot programmes using a total of 16 real-world use-cases from across all six partner countries: Denmark, Estonia, Finland, Germany, Poland, and Sweden.

To ensure broad awareness and real-world adoption, the Clinical AI Pathway Toolbox is being promoted through a series of Roadshow events across the Baltic Sea Region. Organised by the CAIDX partners, the Roadshow aims to support local implementation and strengthen regional cooperation around responsible, clinically meaningful AI.